Name:Gianluca Mittone

Bio:

Gianluca Mittone is a postdoctoral researcher in computer science at the University of Turin. His research is focused on the convergence between High-Performance Computing (HPC) and Artificial Intelligence (AI) techniques. In less than five years of research activity, he has achieved 16 scientific publications and an H-index of 9 (source: Google Scholar).

While his first publications are related to the use of AI in medicine, most of his current research revolves around Federated Learning (FL) and its computational properties, proposing it as an enabling technique allowing innovative trade-offs between privacy and scaling properties of state-of-the-art AI applications, including Large Language Models. He is currently investigating the deployment of cross-HPC FL workloads through workflow-based approaches and using FL as a tool to allow AI-based computation to scale efficiently for HPC benchmarking purposes.

He is currently co-principal investigator in a joint research effort between the University of Turin and Telecom Italia (TIM) to develop an FL-as-a-Service platform for the ”TIM Edge & Cloud Continuum” IPCEI European Project. His achievements rewarded him with an HPC-Europa3 scholarship and an EuroPar foundation studentship, together with the ”Best PhD Symposium Award” during the 2023 edition of the conference. His PRAISE Score, an AI-based diagnostic tool, has been awarded as ”an officially recommended diagnostic software” by the European Society of Cardiology in their 2023 guidelines.

Country:Italy

Affiliation:University of Turin, Italy

Research interests:Artificial Intelligence, High-Performance Computing, Federated Learning